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Open Cloud Institute & SiViRT Center: Dr. Anne Elster, Norwegian University of Science

May 3, 2016 @ 11:00 am - 12:00 pm CDT

| Free

Open Cloud Institute and SiViRT Center Present

Dr. Anne Elster, Professor of High Performance Computing, Norwegian University of Science

CLOUDLIGHTNING & High Performance Computing (HPC): Our Self- Organizing and Self- Managing Heterogeneous Cloud Framework and its HPC Use Cases
Dr. Elster will present the main ideas behind the current EU project CloudLightning led by Prof. John Morrison’s group at UCC, Cork, Ireland, in collaboration with the group at NTNU in Trondheim, Norway along with Intel, Maxeler, IeAT Romania, and CERT & Duth of Greece. The project is based on the principles of self-organization and self-management that shifts the deployment and optimization effort from the consumer to the software stack running on the cloud infrastructure.

Current cloud infrastructures are mostly homogeneous, centrally managed and made available to the end users through the three standard delivery models: IaaS, PaaS and SaaS. As systems of different types are added to the growing cloud infrastructure in order to maximize performance and power efficiency, heterogeneous clouds are being created. However, exploiting different architectures poses significant challenges. To efficiently access heterogeneous resources and, at the same time, to exploit these resources to reduce application development effort, to make optimizations easier and to simplify service deployment, requires a re-evaluation of our approach to service delivery and how we implement HPC applications and computer simulations requiring fast inter-processor communications in various engineering fields.

“Our framework is general, but our proposed use cases focuses on how to enable cloud services for high performance computing. These use cases include genomics, oil and gas exploration, and ray tracing. My research group is responsible for the oil and gas use case and risk management as well as the overall test-bed that includes a novel Numascale SMP with GPUs, a small GPU cluster, an Intel Phi system as well as a Maxler FPGA-based system. The oil and gas use case is also done in collaborations with Statoil and the OPM (Open Porous Media) project.

Location:   JPL 4.04.22 – Faculty Center Assembly Room

Registration is not required.




May 3, 2016
11:00 am - 12:00 pm


JPL 4.04.22 | John Peace Library
1 UTSA Circle
San Antonio, United States
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